Failure Process Analysis of Robustness of Multi-layer Interdependent Networks
Authors/Creators
Description
Interdependent networks have become a hot research direction in the field of complex networks in recent years. At present, the research of interdependent networks mainly focuses on interdependent networks composed of two sub-networks, but complex systems in the real world may be composed of multiple subnetworks. This paper constructs a multi-dependent network model, studies its node failure mechanism and robustness issues, and conducts theoretical analysis of the robustness of three typical network combinations (non-ring structure, ring structure and mesh structure). The research results show that the robustness of the multi-layer interdependent network is related to the coupling strength between sub-networks, the average degree of external connections, the average degree of internal connections, and the number of sub-network nodes, and the performance of the characteristics is closely related to the network structure.
Files
Failure Process Analysis of Robustness of Multi-layer Interdependent Networks.pdf
Files
(1.0 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:59cefa30c3b19e042f0814d5aebbaaf2
|
1.0 MB | Preview Download |
Additional details
References
- Buldyrev, S.V., Parshani, R., Paul, G., et al. (2010) Catastrophic cascade of failures in interdependent networks. Nature, 464: 1025-1028. Cheng, Z.S., Cao, J.D. (2015) Cascade of failures in interdependent networks coupled by different type networks. Physica A: Statistical Mechanics and its Applications, 430: 193-220. Gao, Y.L., Chen, S.M., Nie, S., et al. (2017) Robustness analysis of interdependent networks under multiple-attacking strategies. Physica A: Statistical Mechanics and its Applications, 496: 495- 504. Goodrum et.al., 2018, Manish et al., 2019, Malgorzata et.al., 2019 C.J., Shields, C.P.F., Singer, D.J. (2018) Understanding cascading failures through a vulnerability analysis of interdependent shipcentric distributed systems using networks. Ocean Engineering, 150: 36-47. Hassan, H.A., Mohamad, E.H.G., Takawira, C.N. (2019) A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges. Energies, 12: 682. Malgorzata, T., Keith, B., Martin, R., et al. (2019) Cascading failures in scale-free interdependent networks. Physical Review E, 99: 032308. Manish, T., Espejo, U., Evangelos, P. (2019) Measuring network reliability and repairability against cascading failures. Journal of Intelligent Information Systems, 52: 573–594. Parshani, R., Buldyrev, S.V., Havlin, S. (2010) Interdependent Networks: Reducing the Coupling Strength Leads to a Change from a First to Second Order Percolation Transition. Physical Review Letters, 105: 048701. Qian, Y., Wang, B, Xue, Y, et al. (2015) A simulation of the cascading failures of a complex network model by considering the characteristics of road traffic conditions. Nonlinear Dynamics, 80: 413-420. Rahnamay-Naeini, M., Hayat, M. (2016) Cascading Failures in Interdependent Infrastructures: An Interdependent Markov-Chain Approach. IEEE Transactions on Smart Grid, 7: 1997-2006. Shen, A.W., Guo, J.L., Wang, Z.J. (2017) Research on Methods for Improving Robustness of Cascading Failures of Interdependent Networks. Wireless Personal Communications, 95: 2111-2126. Wang, K., Zhang, B., Zhang, H.Z., Yin X.G., Wang, B. (2011) An electrical betweenness approach for vulnerability assessment of power grids considering the capacity of generators and load. Physica A, 390: 4692–4701. Wang, F., Tian, L.X., Du, R.J., et al. (2018) The robustness of interdependent weighted networks. Physica A: Statistical Mechanics and its Applications, 508: 675-680.